← Back to case studies
Manufacturing
Manufacturing: Predictive Maintenance
Value
-50.0% critical outages
Timeline
36 weeks
The Problem
Harsh operational environment and long planning and transportation windows require clinical precision when planning machine maintenance.
The Solution
Separate models for different types of machinery. Highly specialized feature engineering focusing on machine, and fault type specific extraction of signals from vibration, temperature, and oil data.
Tech Stack
RPythonPostgreSQLClearMLAWS
The Impact
50.0%
50.0% less critical outages
36.8%
36.8% faster decision making time